Sequence-independent segmentation of magnetic resonance images
Sequence-independent segmentation of magnetic resonance images
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DOI：
10.1016/j.neuroimage.2004.07.016
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发表时间：
2004-01-01
期刊：
影响因子：
5.7
通讯作者：
Dale, AM
中科院分区：
文献类型：
--
作者：
Fischl, B;Salat, DH;Dale, AM
我们提出了一套技术，用于将产生一类磁共振图像（MRI）的成像过程的物理原理嵌入到分割或配准算法中。这使得对采集参数具有相当大的不变性，因为这些参数对各种大脑结构的对比度特性的影响在分割中被明确建模。此外，图像采集与组织分类的整合允许推导出对分割目的而言最优的序列。这些程序的另一个好处是生成了导致磁共振对比度（例如，T1、质子密度、T2*）的内在组织参数的概率模型，从而能够获取这些可能随疾病或人口统计学因素而变化的生理相关参数，这些参数会导致磁共振图像中难以检测的非形态学改变。最后，我们还提出了一种高带宽多回波FLASH脉冲序列，该序列由于B0效应导致的图像失真最小，且具有高信噪比。这个序列还有一个额外的好处，即允许对T2*进行明确估计，并减少测试 - 再测试强度的变异性。（C）2004 Elsevier Inc.保留所有权利。
We present a set of techniques for embedding the physics of the imaging process that generates a class of magnetic resonance images (MRIs) into a segmentation or registration algorithm. This results in substantial invariance to acquisition parameters, as the effect of these parameters on the contrast properties of various brain structures is explicitly modeled in the segmentation. In addition, the integration of image acquisition with tissue classification allows the derivation of sequences that are optimal for segmentation purposes. Another benefit of these procedures is the generation of probabilistic models of the intrinsic tissue parameters that cause MR contrast (e.g., T1, proton density, T2*), allowing access to these physiologically relevant parameters that may change with disease or demographic, resulting in nonmorphometric alterations in MR images that are otherwise difficult to detect. Finally, we also present a high band width multiecho FLASH pulse sequence that results in high signal-to-noise ratio with minimal image distortion due to B0 effects. This sequence has the added benefit of allowing the explicit estimation of T2* and of reducing test-retest intensity variability. (C) 2004 Elsevier Inc. All rights reserved.